Evidence map›Paper›PMID 40593415›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Epitope Mapping Using Yeast Display and Next Generation Sequencing.

Thomas Van Blarcom, Andrea Rossi, Davide Foletti, Purnima Sundar, Steven Pitts, Zea Melton, Dilduz Telman, Lora Zhao, Wai Ling Cheung, Jan Berka and 5 more

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Thomas Van BlarcomRinat, Pfizer Inc., South San Francisco, CA, USA.
Andrea RossiRinat, Pfizer Inc., South San Francisco, CA, USA.
Davide FolettiRinat, Pfizer Inc., South San Francisco, CA, USA.
Purnima SundarRinat, Pfizer Inc., South San Francisco, CA, USA.
Steven PittsRinat, Pfizer Inc., South San Francisco, CA, USA.
Zea MeltonRinat, Pfizer Inc., South San Francisco, CA, USA.
Dilduz TelmanRinat, Pfizer Inc., South San Francisco, CA, USA.
Lora ZhaoRinat, Pfizer Inc., South San Francisco, CA, USA.
Wai Ling CheungRinat, Pfizer Inc., South San Francisco, CA, USA.
Jan BerkaRinat, Pfizer Inc., South San Francisco, CA, USA.
Wenwu ZhaiRinat, Pfizer Inc., South San Francisco, CA, USA.
Pavel StropRinat, Pfizer Inc., South San Francisco, CA, USA.
Jaume PonsRinat, Pfizer Inc., South San Francisco, CA, USA.
Arvind RajpalRinat, Pfizer Inc., South San Francisco, CA, USA.
Javier Chaparro-RiggersRinat, Pfizer Inc., South San Francisco, CA, USA. javier.chaparro-riggers@pfizer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies are the largest class of therapeutic proteins due in part to their ability to bind an antigen with a high degree of affinity and specificity. A precise determination of their epitope is important for gaining insight into their therapeutic mechanism of action and to help differentiate antibodies that bind the same antigen. Here we describe a method to precisely and efficiently map the epitopes of multiple antibodies in parallel over the course of just several weeks. This approach is based on a combination of rational library design, yeast surface display, and next-generation DNA sequencing and provides quantitative insight into the epitope residues most critical for the antibody-antigen interaction. As an example, we will use this method to map the epitopes of several antibodies that neutralize alpha toxin from Staphylococcus aureus.

Indexed as

Cell Surface Display TechniquesEpitope MappingEpitopesHigh-Throughput Nucleotide SequencingSaccharomyces cerevisiaeAntibodies, MonoclonalPeptide LibraryStaphylococcus aureusAntibodies, MonoclonalEpitopesPeptide LibraryAlpha toxinAntibodyAntigenEpitope mappingFACSLibrary designNext-generation sequencingStaphylococcus aureusYeast display

Identifiers

PMID40593415

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.